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Field
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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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to research proceedings and publications Prepare technical reports Deliver briefings to stakeholders Basic Qualifications: A PhD in Chemical Engineering, Mechanical Engineering, Physics, Materials Science
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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to explore innovative ideas and develop your own research vision. Continuous support to apply for your own fellowships and excel in your future career progression. Exposure to both computational and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Scholar Position Title Cancer Health Drivers Program Postdoctoral Trainee Vacancy ID PDS004936 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
Scholar Position Title Cancer Health Drivers Program Postdoctoral Trainee Vacancy ID PDS004936 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location
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assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement
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Trustworthy AI Systems NSF Research Traineeship, the Digital Trade and Data Governance Hub, the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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weekend and/or after normal hours. May travel as required. Qualifications Required Education and Experience: PhD in a related field. No required experience. A Well-Qualified Candidate Will Also Possess